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Comparison · Infra & APIs
ggInterval vs legendry
A side-by-side editorial comparison of ggInterval and legendry — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:ggplot2data-visualizationr-package
ggInterval vs legendry: at a glance
What is ggInterval?
Interval-valued data plotting, spending 2026 making its function names and examples survive CRAN.
ggInterval visualizes symbolic interval-valued data — observations recorded as ranges rather than points — with a family of plot functions in the ggplot2 idiom. The plot catalogue grew most recently with interval correlation heatmaps and interval line plots compatible with time-series input. The three releases before that were corrections: seven plot functions renamed for consistency, examples switched from dontrun to donttest at CRAN's request, and a vignette rewritten to demonstrate every function in one place.
What is legendry?
A ggplot2 extension quietly turning axes and legends into a place where other plots can live.
legendry extends ggplot2's guide system, letting axes and legends be composed from primitives and keys rather than accepted as given. The most recent release added guides for user-defined keys, upset matrices, arbitrary symbol placement, freeform annotations, and side-plots attached to an axis, plus a run-length-encoded range key and subtitles on custom axes. Between feature releases the package ships small patches, several of them tracking ggplot2's own changes.
ggInterval vs legendry: editorial side-by-side
ggInterval
0.0INFRA · APIS
Interval-valued data plotting, spending 2026 making its function names and examples survive CRAN.
◆ Current state
ggInterval visualizes symbolic interval-valued data — observations recorded as ranges rather than points — with a family of plot functions in the ggplot2 idiom. The plot catalogue grew most recently with interval correlation heatmaps and interval line plots compatible with time-series input. The three releases before that were corrections: seven plot functions renamed for consistency, examples switched from dontrun to donttest at CRAN's request, and a vignette rewritten to demonstrate every function in one place.
◆ Where it's heading
The package is consolidating an interface that had drifted. Renaming seven functions in a single release is the clearest signal — the naming was inconsistent enough to be worth breaking, and the vignette rewrite that followed suggests discoverability was the underlying complaint. Underneath that, the additions are steady and narrow: each release brings interval-aware versions of plot types that already exist for point data, which is the whole premise of the package.
◆ Prediction
The pattern of porting one more standard plot type into interval-aware form each release is the most likely continuation; the tsplot compatibility in the latest version hints that time-series interval data is the direction attracting attention.
legendry
0.0INFRA · APIS
A ggplot2 extension quietly turning axes and legends into a place where other plots can live.
◆ Current state
legendry extends ggplot2's guide system, letting axes and legends be composed from primitives and keys rather than accepted as given. The most recent release added guides for user-defined keys, upset matrices, arbitrary symbol placement, freeform annotations, and side-plots attached to an axis, plus a run-length-encoded range key and subtitles on custom axes. Between feature releases the package ships small patches, several of them tracking ggplot2's own changes.
◆ Where it's heading
The direction is toward treating a guide as a rendering slot rather than a label strip. Dendrogram scales arrived in 0.2.0 with a matching axis guide; the newest release adds side-plots and upset symbol matrices to the same position. Each of these puts real graphical content where an axis used to be, and each one ships with a key function so the composition stays user-controllable. Note that this feed's order is unreliable: 0.2.1 was published eight months after 0.2.4 and minutes before 0.3.0, so neither version numbers nor timestamps indicate release order here.
◆ Prediction
The pattern of pairing each new guide with a matching key function is consistent enough that the next feature release will likely follow it again; the recurring forwards-compatibility patches also suggest another ggplot2-tracking release whenever upstream moves.
Alternatives to ggInterval and legendry
Other Infra & APIs products tracked by Sparkpulse, ranked by recent ship velocity. Each card links to a full editorial trajectory and lets you pivot into a head-to-head comparison with either ggInterval or legendry.
WPML
WPML made machine translation the default, and its point releases keep chasing WordPress and page builders.
forestploter
A forest plot package that keeps handing users control of one more graphical detail.
rgm
A microbiome network model that got itself un-archived by deleting the dependency that killed it.
contagionchannels
Three releases in ten days, every one of them a CRAN reviewer's correction rather than a code change.
tidyaudit
Pipeline provenance for tidyverse workflows, recording what changed at each step without keeping the data.
See all ggInterval alternatives → · See all legendry alternatives →
Recent activity from ggInterval and legendry
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 3mo agolegendryFive new guides, including side-plots and upset matrices on axes
- 3mo agolegendryPatch release: guide placement, sizing and gizmo key fixes
- 3mo agoggIntervalInterval correlation heatmaps and time-series-compatible line plots
- 6mo agoggIntervalExamples switched to donttest per CRAN review
- 6mo agoggIntervalVignette rewritten to cover every plot function
- 6mo agoggIntervalSeven plot functions renamed for consistency
- 11mo agolegendryCRAN fix for undeclared S7 imports
- 11mo agolegendryColourbar sizing fix; sandwich guides gain label suppression
- 1y agolegendryForwards-compatibility patch for an upcoming ggplot2 release
- 1y agolegendryDendrogram scales and axis guide, plus a circle size guide
Frequently asked questions
What is the difference between ggInterval and legendry?
Both compete on the same themes — ggplot2, data-visualization, r-package — within Infra & APIs. ggInterval and legendry are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.
Is ggInterval better than legendry?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. ggInterval and legendry are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). For your specific use case, the alternatives sections above list other Infra & APIs products to evaluate alongside.
What are the best alternatives to ggInterval?
Top ggInterval alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "ggInterval alternatives" section above for the current picks, or visit /alternatives/gginterval for the full list with editorial commentary on each.
What are the best alternatives to legendry?
Top legendry alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "legendry alternatives" section above for the current picks, or visit /alternatives/legendry for the full list with editorial commentary on each.